Evidence for Upper Cretaceous seismites in the Abu Tartur area, Western Desert, Egypt

Author(s):  
Walaa A. Hassan ◽  
Ezzat A. Ahmed ◽  
Rashad Sawires ◽  
Mohamed A. Moneim ◽  
Mostafa R. Abukhadra
2016 ◽  
Vol 117 ◽  
pp. 223-234 ◽  
Author(s):  
Hesham M. Sallam ◽  
Patrick M. O'Connor ◽  
Mahmoud Kora ◽  
Joseph J.W. Sertich ◽  
Erik R. Seiffert ◽  
...  

2014 ◽  
Vol 34 (4) ◽  
pp. 760-766 ◽  
Author(s):  
Kerin M. Claeson ◽  
Hesham M. Sallam ◽  
Patrick M. O’Connor ◽  
Joseph J. W. Sertich

2019 ◽  
Vol 10 (2) ◽  
pp. 371-393
Author(s):  
Mohamed F. Abu-Hashish ◽  
Hamdalla A. Wanas ◽  
Emad Madian

Abstract This study aims to construct 3D geological model using the integration of seismic data with well log data for reservoir characterization and development of the hydrocarbon potentialities of the Upper Cretaceous reservoirs of GPT oil field. 2D seismic data were used to construct the input interpreted horizon grids and fault polygons. The horizon which cut across the wells was used to perform a comprehensive petrophysical analysis. Structural and property modeling was distributed within the constructed 3D grid using different algorithms. The workflow of the 3D geological model comprises mainly the structural and property modeling. The structural model includes fault framework, pillar girding, skeleton girding, horizon modeling and zonation and layering modeling processes. It shows system of different oriented major and minor faults trending in NE–SW direction. The property modeling process was performed to populate the reservoir facies and petrophysical properties (volume of shale (Vsh), fluid saturations (Sw and Sh), total and effective porosities (Φt and Φe), net to gross thickness and permeability) as extracted from the available petrophysical analysis of wells inside the structural model. The model represents a detailed zonation and layering configuration for the Khoman, Abu Roash and Bahariya formations. The 3D geological model helps in the field development and evaluates the hydrocarbon potentialities and optimizes production of the study area. It can be also used to predict reservoir shape and size, lateral continuity and degree of interconnectivity of the reservoir, as well as its internal heterogeneity.


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